Assessing the dynamics of soil salinity with time-lapse inversion  of electromagnetic data guided by hydrological modelling

Farzamian, Mohammad; Autovino, Dario; Basile, Angelo; De Mascellis, Roberto; Dragonetti, Giovanna; Monteiro Santos, Fernando; Binley, Andrew; Coppola, Antonio

doi:https://doi.org/10.5194/hess-25-1509-2021

Articles | Volume 25, issue 3

https://doi.org/10.5194/hess-25-1509-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/hess-25-1509-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 25, issue 3

Research article

|

26 Mar 2021

Research article |

| 26 Mar 2021

Assessing the dynamics of soil salinity with time-lapse inversion of electromagnetic data guided by hydrological modelling

Mohammad Farzamian, Dario Autovino, Angelo Basile, Roberto De Mascellis, Giovanna Dragonetti, Fernando Monteiro Santos, Andrew Binley, and Antonio Coppola

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Final revised paper (published on 26 Mar 2021)
Preprint (discussion started on 16 Oct 2020)

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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- Supplement

RC1: 'Review comments manuscript hess-2020-514', Anonymous Referee #1, 11 Dec 2020
- AC1: 'Reply on RC1', Angelo Basile, 06 Jan 2021
RC2: 'Assessing the dynamics of soil salinity with time-lapse inversion of electromagnetic data guided by hydrological modelling', Anonymous Referee #2, 23 Dec 2020
- AC2: 'Reply on RC2', Angelo Basile, 06 Jan 2021
- AC1: 'Reply on RC1', Angelo Basile, 06 Jan 2021

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

ED: Publish subject to minor revisions (further review by editor) (09 Jan 2021) by Alberto Guadagnini

AR by Angelo Basile on behalf of the Authors (09 Feb 2021) Author's response Author's tracked changes Manuscript

ED: Publish as is (13 Feb 2021) by Alberto Guadagnini

AR by Angelo Basile on behalf of the Authors (17 Feb 2021) Manuscript

Short summary

Soil salinity is a serious threat in numerous arid and semi-arid areas of the world. Given this threat, efficient field assessment methods are needed to monitor the dynamics of soil salinity in salt-affected lands efficiently. We demonstrate that rapid and non-invasive geophysical measurements modelled by advanced numerical analysis of the signals and coupled with hydrological modelling can provide valuable information to assess the spatio-temporal variability in soil salinity over large areas.